clickstream-package {clickstream}

Analyzes Clickstreams Based on Markov Chains

Description

This package allows modeling clickstreams with Markov chains. It supports to model clickstreams as zero-order, first-order or higher-order Markov chains.

Details

Package:	clickstream
Type:	Package
Version:	1.3.3
Date:	2023-09-27
License:	GPL-2
Depends:	R (>= 3.0), methods

Author(s)

Michael Scholz [e-mail]

Theo van Kraay [e-mail]

References

Scholz, M. (2016) R Package clickstream: Analyzing Clickstream Data with Markov Chains, Journal of Statistical Software, 74, 4, pages 1–17 .

Ching, W.-K.and Huang, X. and Ng, M.K. and Siu, T.-K. (2013) Markov Chains – Models, Algorithms and Applications, 2nd edition, New York: Springer-Verlag.

Examples

# fitting a simple Markov chain and predicting the next click
clickstreams <- c("User1,h,c,c,p,c,h,c,p,p,c,p,p,o",
               "User2,i,c,i,c,c,c,d",
               "User3,h,i,c,i,c,p,c,c,p,c,c,i,d",
               "User4,c,c,p,c,d",
               "User5,h,c,c,p,p,c,p,p,p,i,p,o",
               "User6,i,h,c,c,p,p,c,p,c,d")
cls <- as.clickstreams(clickstreams, header = TRUE)
mc <- fitMarkovChain(cls)
startPattern <- new("Pattern", sequence = c("h", "c"))
predict(mc, startPattern)
plot(mc)